This project is expanding an effective mobile making program to achieve sustainable, widespread impact among underserved youth. Making is a design-based, participant-driven endeavor that is based on a learning by doing pedagogy. For nearly a decade, California State University San Marcos has operated out-of-school making programs for bringing both equipment and university student facilitators to the sites in under-served communities. In collaboration with four other CSU campuses, this project will expand along four dimensions: (a) adding community sites in addition to school sites (b) adding rural contexts in addition to urban/suburban, (c) adding hybrid and online options in addition to in-person), and (d) including future teachers as facilitators in addition to STEM undergraduates. The program uses design thinking as a framework to engage participants in addressing real-world problems that are personally and socially meaningful. Participants will use low- and high-tech tools, such as circuity, coding, and robotics to engage in activities that respond to design challenges. A diverse group of university students will lead weekly, 90-minute activities and serve as near-peer mentors, providing a connection to the university for the youth participants, many of whom will be first-generation college students. The project will significantly expand the Mobile Making program from 12 sites in North San Diego County to 48 sites across California, with nearly 2,000 university facilitators providing 12 hours of programming each year to over 10,000 underserved youth (grades 4th through 8th) during the five-year timeline.
The project research will examine whether the additional sites and program variations result in positive youth and university student outcomes. For youth in grades 4 through 8, the project will evaluate impacts including sustained interest in making and STEM, increased self-efficacy in making and STEM, and a greater sense that making and STEM are relevant to their lives. For university student facilitators, the project will investigate impacts including broadened technical skills, increased leadership and 21st century skills, and increased lifelong interest in STEM outreach/informal science education. Multiple sources of data will be used to research the expanded Mobile Making program's impact on youth and undergraduate participants, compare implementation sites, and understand the program's efficacy when across different communities with diverse learner populations. A mixed methods approach that leverages extant data (attendance numbers, student artifacts), surveys, focus groups, making session feedback forms, observations, and field notes will together be used to assess youth and university student participant outcomes. The project will disaggregate data based on gender, race/ethnicity, grade level, and site to understand the Mobile Making program's impact on youth participants at multiple levels across contexts. The project will further compare findings from different types of implementation sites (e.g., school vs. library), learner groups, (e.g., middle vs. upper elementary students), and facilitator groups (e.g., STEM majors vs. future teachers). This will enable the project to conduct cross-case comparisons between CSU campuses. Project research will also compare findings from urban and rural school sites as well as based on the modality of teaching and learning (e.g., in-person vs. online). The mobile making program activities, project research, and a toolkit for implementing a Mobile maker program will be widely disseminated to researchers, educators, and out-of-school programs.
The data collection procedure and process is one of the most critical components in a research study that affects the findings. Problems in data collection may directly influence the findings, and consequently, may lead to questionable inferences. Despite the challenges in data collection, this study provides insights for STEM education researchers and practitioners on effective data collection, in order to ensure that the data is useful for answering questions posed by research. Our engineering education research study was a part of a three-year, NSF funded project implemented in the Midwest
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TEAM MEMBERS:
Ibrahim YeterAnastasia Marie RynearsonHoda EhsanAnnwesa DasguptaBarbara FagundesMuhsin MeneskeMonica Cardella
Integrating science, technology, engineering, and mathematics (STEM) subjects in pre-college settings is seen as critical in providing opportunities for children to develop knowledge, skills, and interests in these subjects and the associated critical thinking skills. More recently computational thinking (CT) has been called out as an equally important topic to emphasize among pre-college students. The authors of this paper began an integrated STEM+CT project three years ago to explore integrating these subjects through a science center exhibit and a curriculum for 5-8 year old students. We
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TEAM MEMBERS:
Morgan HynesMonica CardellaTamara MooreSean BrophySenay PurzerKristina TankMuhsin MeneskeIbrahim YeterHoda Ehsan
Given the growth of technology in the 21st century and the growing demands for computer science skills, computational thinking has been increasingly included in K-12 STEM (Science, Technology, Engineering and Mathematics) education. Computational thinking (CT) is relevant to integrated STEM and has many common practices with other STEM disciplines. Previous studies have shown synergies between CT and engineering learning. In addition, many researchers believe that the more children are exposed to CT learning experiences, the stronger their programming abilities will be. As programming is a
Computational Thinking (CT) is a relatively new educational focus and a clear need for learners as a 21st century skill. This proposal tackles this challenging new area for young learners, an area greatly in need of research and learning materials. The Principal Investigators will develop and implement integrated STEM+C museum exhibits and integrate CT in their existing engineering design based PictureSTEM curriculum for K-2 students. They will also pilot assessments of the CT components of the PictureSTEM curriculum. This work will make a unique contribution to the available STEM+C learning materials and assessments. There are few such materials for the kindergarten to second grade (K-2) population they will work with. They will research the effects of the curriculum and the exhibits with a mixed methods approach. First, they will collect observational data and conduct case studies to discover the important elements of an integrated STEM+C experience in both the formal in-school setting with the curriculum and in the informal out-of-school setting with families interacting with the museum exhibits. This work will provide a novel way to understand the important question of how in- and out-of-school experiences contribute to the development of STEM and CT thinking and learning. Finally, they will collect data from all participants to discover the ways that their activities lead to increases in STEM+C knowledge and interest.
The Principal Investigators will build on an integrated STEM curriculum by integrating CT and develop integrated museum exhibits. They base both activities on engineering design implemented through challenge based programming activities. They will research and/or develop assessments of both STEM+C integrated thinking and CT. Their research strategy combines Design Based Research and quantitative assessment of the effectiveness of the materials for learning CT. In the first two years of their study, they will engage in iterations on the design of the curriculum and the exhibits based on observation and case-study data. There will be 16 cases that draw from each grade level and involve data collection for the case student in both schools and museums. They will also use this work to illuminate what integrated STEM+C thinking and learning looks like across formal and informal learning environments. Based in some part on what they discover in this first phase, they will conduct the quantitative assessments with all (or at least most) students participating in the study
In this literature review, we seek to understand in what ways aspects of computer science education and making and makerspaces may support the ambitious vision for science education put forth in A Framework for K-12 Science as carried forward in the Next Generation Science Standards. Specifically, we examine how computer science and making and makerspace approaches may inform a project-based learning approach for supporting three-dimensional science learning at the elementary level. We reviewed the methods and findings of both recently published articles by influential scholars in computer
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TEAM MEMBERS:
Samuel SeveranceSusan CodereEmily MillerDeborah Peek-BrownJoseph Krajcik
This project, an NSF INCLUDES Design and Development Launch Pilot, managed by the University of Nevada, Reno, addresses the grand challenge of increasing underrepresentation regionally in the advanced manufacturing sector. Using the state's Learn and Earn Program Advanced Career Pathway (LEAP) as the foundation, science, technology, engineering and mathematics (STEM) activities will support and prepare Hispanic students for the region's workforce in advanced manufacturing which includes partnerships with Truckee Meadows Community College (TMCC), the state's Governor's Office of Economic Development, Charles River Laboratories, Nevada Established Program to Stimulate Competitive Research (Nevada EPSCoR) and the K-12 community.
The expected outcomes from the project will inform the feasibility, expandability and transferability of the LEAP framework in diversifying the state's workforce locally and the STEM workforce nationally. Formative and summative evaluation will be conducted with a well-matched comparison group. Dissemination of project results will be disseminated through the Association for Public Land-Grant Universities (APLU), STEM conferences and scholarly journals.
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TEAM MEMBERS:
David ShintaniJulie EllsworthKarsten HeiseRobert StachlewitzRegina Tempel
resourceprojectProfessional Development, Conferences, and Networks
Aligning for Impact: Computer Science Pathways Across Contexts [CS-PAC] is an NSF INCLUDES Design and Development Launch Pilot. It broadens participation of students who are underrepresented in computer science by using the convening and policy-making power of the Georgia State Department of Education to coalesce school district leaders to implement K-12 computer science education. The project provides a national model for how to work toward systemic change. With the State Department of Education's coordination, several school districts will collaboratively seek improvements in their own student participation rates. The coordination of data reporting and analysis, resources, communications, and policy promote more equitable participation in computer science education. Research emerging from this project informs other states about how to collaboratively shape computer science education policy and policy implementation.
Using a Collective Impact approach to systemic change, the project creates sustainable institutional change at the community, state, and national levels. Qualitative and quantitative data provide descriptions about how to utilize alignment strategies within Collective Impact in three different contexts: rural, suburban, and urban. Outcomes utilize a regression discontinuity analysis to justify successful implementation as well as qualitative analysis of implementation efforts that were deemed most effective by all stakeholders. The project outputs directly affect over 88,000 students across five districts and indirectly affect over 1.7 million in Georgia alone. The culminating project goal is the development of a coherent framework for aligning K-12 computer science education pathways.
The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to take tests or participate in rigid textbook exercises for the system to know what they know.
The project proposes to use techniques from educational data mining and learning analytics to process student data in the Alice programming environment. Building on the assessment design model of Evidence-Centered Design, student log data will be used to construct a model of individual students' computational thinking practices, aligned with emerging standards including NGSS and research on assessment of computational thinking. Initially, the system will be developed based on an existing corpus of pair-programming log data from approximately 600 students, triangulating with manually-coded performance assessments of programming through game design exercises. In the second phase of the work, curricula and professional development will be created to allow the system to be tested with underrepresented girls at Stanford's CS summer workshops and with students from diverse high schools implementing the Exploring Computer Science curriculum. Direct observation and interviews will be used to improve the model. Research will address how learners enact computational thinking practices in building computational artifacts, what patters of behavior serve as evidence of learning CT practices, and how to better design constructionist programming environments so that personalized learner scaffolding can be provided. By aligning with a popular programming environment (Alice) and a widely-used computer science curriculum (Exploring Computer Science), the project can have broad impact on computer science education; software developed will be released under a BSD-style license so others can build on it.
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TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
The project team is developing and testing a prototype of a computer science game-based intervention intended for Grade 1 students. The prototype will include physical robots that will be designed and controlled on a game board by students through a blue-tooth enabled smartphone app. The product will include teacher resources and suggestions to facilitate classroom integration. In the Phase I pilot research with 5 classrooms and 150 students, the researchers will examine whether the prototype functions as planned, if teachers are able to implement it with small groups of students, and whether
The Science Museum of Minnesota (SMM) leverages a professional educator team (“instructors”) comprised of about two dozen individuals who facilitate both formal and informal educational programming in the museum, in K–12 classrooms, and at community-based sites. The experienced instructors of SMM’s Lifelong Learning Group bring innovative programs to both students and their teachers. Recognizing that long-term experiences can have a profound impact on students and teachers, SMM works to develop multiyear relationships based on collaboration. This article focuses primarily on SMM’s well